ekf2: migrate GNSS yaw fusion to SymForce

This commit is contained in:
bresch
2022-11-17 12:11:56 +01:00
committed by Daniel Agar
parent 19bca47b9e
commit eff2c6adcf
3 changed files with 143 additions and 91 deletions
@@ -387,6 +387,34 @@ def compute_flow_y_innov_var_and_h(
return (innov_var, Hy.T)
def compute_gnss_yaw_innon_innov_var_and_h(
state: VState,
P: MState,
antenna_yaw_offset: sf.Scalar,
meas: sf.Scalar,
R: sf.Scalar,
epsilon: sf.Scalar
) -> (sf.Scalar, sf.Scalar, VState):
q_att = sf.V4(state[State.qw], state[State.qx], state[State.qy], state[State.qz])
R_to_earth = quat_to_rot(q_att)
# define antenna vector in body frame
ant_vec_bf = sf.V3(sf.cos(antenna_yaw_offset), sf.sin(antenna_yaw_offset), 0)
# rotate into earth frame
ant_vec_ef = R_to_earth * ant_vec_bf
# Calculate the yaw angle from the projection
meas_pred = sf.atan2(ant_vec_ef[1], ant_vec_ef[0], epsilon=epsilon)
H = sf.V1(meas_pred).jacobian(state)
innov_var = (H * P * H.T + R)[0,0]
innov = meas_pred - meas
return (innov, innov_var, H.T)
print("Derive EKF2 equations...")
generate_px4_function(compute_airspeed_innov_and_innov_var, output_names=["innov", "innov_var"])
generate_px4_function(compute_airspeed_h_and_k, output_names=["H", "K"])
@@ -404,3 +432,4 @@ generate_px4_function(compute_yaw_312_innov_var_and_h_alternate, output_names=["
generate_px4_function(compute_mag_declination_innov_innov_var_and_h, output_names=["innov", "innov_var", "H"])
generate_px4_function(compute_flow_xy_innov_var_and_hx, output_names=["innov_var", "H"])
generate_px4_function(compute_flow_y_innov_var_and_h, output_names=["innov_var", "H"])
generate_px4_function(compute_gnss_yaw_innon_innov_var_and_h, output_names=["innov", "innov_var", "H"])
@@ -0,0 +1,103 @@
// -----------------------------------------------------------------------------
// This file was autogenerated by symforce from template:
// backends/cpp/templates/function/FUNCTION.h.jinja
// Do NOT modify by hand.
// -----------------------------------------------------------------------------
#pragma once
#include <matrix/math.hpp>
namespace sym {
/**
* This function was autogenerated from a symbolic function. Do not modify by hand.
*
* Symbolic function: compute_gnss_yaw_innon_innov_var_and_h
*
* Args:
* state: Matrix24_1
* P: Matrix24_24
* antenna_yaw_offset: Scalar
* meas: Scalar
* R: Scalar
* epsilon: Scalar
*
* Outputs:
* innov: Scalar
* innov_var: Scalar
* H: Matrix24_1
*/
template <typename Scalar>
void ComputeGnssYawInnonInnovVarAndH(const matrix::Matrix<Scalar, 24, 1>& state,
const matrix::Matrix<Scalar, 24, 24>& P,
const Scalar antenna_yaw_offset, const Scalar meas,
const Scalar R, const Scalar epsilon,
Scalar* const innov = nullptr,
Scalar* const innov_var = nullptr,
matrix::Matrix<Scalar, 24, 1>* const H = nullptr) {
// Total ops: 106
// Input arrays
// Intermediate terms (28)
const Scalar _tmp0 = std::pow(state(2, 0), Scalar(2));
const Scalar _tmp1 = std::pow(state(1, 0), Scalar(2));
const Scalar _tmp2 = std::pow(state(0, 0), Scalar(2)) - std::pow(state(3, 0), Scalar(2));
const Scalar _tmp3 = std::sin(antenna_yaw_offset);
const Scalar _tmp4 = state(0, 0) * state(3, 0);
const Scalar _tmp5 = state(1, 0) * state(2, 0);
const Scalar _tmp6 = std::cos(antenna_yaw_offset);
const Scalar _tmp7 = _tmp3 * (_tmp0 - _tmp1 + _tmp2) + 2 * _tmp6 * (_tmp4 + _tmp5);
const Scalar _tmp8 = 2 * _tmp3 * (-_tmp4 + _tmp5) + _tmp6 * (-_tmp0 + _tmp1 + _tmp2);
const Scalar _tmp9 = _tmp8 + epsilon * ((((_tmp8) > 0) - ((_tmp8) < 0)) + Scalar(0.5));
const Scalar _tmp10 = 2 * state(3, 0);
const Scalar _tmp11 = 2 * state(0, 0);
const Scalar _tmp12 = -_tmp10 * _tmp3 + _tmp11 * _tmp6;
const Scalar _tmp13 = Scalar(1.0) / (_tmp9);
const Scalar _tmp14 = _tmp10 * _tmp6;
const Scalar _tmp15 = _tmp11 * _tmp3;
const Scalar _tmp16 = std::pow(_tmp9, Scalar(2));
const Scalar _tmp17 = _tmp7 / _tmp16;
const Scalar _tmp18 = _tmp16 / (_tmp16 + std::pow(_tmp7, Scalar(2)));
const Scalar _tmp19 = _tmp18 * (_tmp12 * _tmp13 - _tmp17 * (-_tmp14 - _tmp15));
const Scalar _tmp20 = 2 * state(1, 0);
const Scalar _tmp21 = 2 * state(2, 0);
const Scalar _tmp22 = _tmp20 * _tmp6 + _tmp21 * _tmp3;
const Scalar _tmp23 = _tmp20 * _tmp3;
const Scalar _tmp24 = _tmp21 * _tmp6;
const Scalar _tmp25 = _tmp18 * (_tmp13 * (-_tmp23 + _tmp24) - _tmp17 * _tmp22);
const Scalar _tmp26 = _tmp18 * (-_tmp12 * _tmp17 + _tmp13 * (_tmp14 + _tmp15));
const Scalar _tmp27 = _tmp18 * (_tmp13 * _tmp22 - _tmp17 * (_tmp23 - _tmp24));
// Output terms (3)
if (innov != nullptr) {
Scalar& _innov = (*innov);
_innov = -meas + std::atan2(_tmp7, _tmp9);
}
if (innov_var != nullptr) {
Scalar& _innov_var = (*innov_var);
_innov_var =
R + _tmp19 * (P(0, 3) * _tmp26 + P(1, 3) * _tmp25 + P(2, 3) * _tmp27 + P(3, 3) * _tmp19) +
_tmp25 * (P(0, 1) * _tmp26 + P(1, 1) * _tmp25 + P(2, 1) * _tmp27 + P(3, 1) * _tmp19) +
_tmp26 * (P(0, 0) * _tmp26 + P(1, 0) * _tmp25 + P(2, 0) * _tmp27 + P(3, 0) * _tmp19) +
_tmp27 * (P(0, 2) * _tmp26 + P(1, 2) * _tmp25 + P(2, 2) * _tmp27 + P(3, 2) * _tmp19);
}
if (H != nullptr) {
matrix::Matrix<Scalar, 24, 1>& _H = (*H);
_H.setZero();
_H(0, 0) = _tmp26;
_H(1, 0) = _tmp25;
_H(2, 0) = _tmp27;
_H(3, 0) = _tmp19;
}
} // NOLINT(readability/fn_size)
// NOLINTNEXTLINE(readability/fn_size)
} // namespace sym